Understanding human intentions is key to enabling effective and efficient human-robot interaction (HRI) in collaborative settings. To enable developments and evaluation of the ability of artificial intelligence (AI) systems to infer human beliefs, we introduce a large-scale multi-modal video dataset for intent prediction based on object-context relations.
@article{arxiv.2304.14501,
title = {Read My Mind: A Multi-Modal Dataset for Human Belief Prediction},
author = {Jiafei Duan and Samson Yu and Nicholas Tan and Yi Ru Wang and Cheston Tan},
journal= {arXiv preprint arXiv:2304.14501},
year = {2023}
}
Comments
Accepted to ICRA 2023 Communicating Robot Learning Across Human-Robot Interaction Workshop